Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration
Existing autonomous research agents can support parts of the research process, but most systems still treat research as either an isolated assistant task or a closed workflow. Therefore, autonomous science needs a collaboration infrastructure that coordinates projects, agents, and digital and physical resources. We identify this as a shift from code-centered execution loops to research-oriented collaboration processes, where questions, evidence, participants, and resources must be coordinated under uncertainty. In this framing, an agent may be an AI system, a human researcher, a team, a labora
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- LinkedLinked via unknownCo-Scientist: A multi-agent AI partner to accelerate research →
- LinkedLinked via unknownAgentic AI for Robot Teams →
- LinkedLinked via unknownGoogle DeepMind is worried about what happens when millions of agents start to interact →
- LinkedLinked via unknownLearning to lead in a hybrid human-AI enterprise →
- LinkedLinked via unknownOpen-source agent framework crosses 50k stars →
- LinkedLinked via unknownAI agents are not your “coworkers” →
- LinkedLinked via unknownFabiojvv/ai-cortex-hub →
